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Rapid Arctic warming causes landscape-altering retrogressive thaw slumps (RTS). We created the Arctic Retrogressive Thaw Slumps (ARTS) dataset and a curation framework to unify fragmented data for better Arctic permafrost research.

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Area of Science:

  • Permafrost Science
  • Climate Change Research
  • Geomorphology

Background:

  • Arctic permafrost is rapidly changing due to global warming.
  • Retrogressive thaw slumps (RTS) are significant thermal-denudation events impacting Arctic landscapes and carbon cycles.
  • Existing RTS spatial data is fragmented across numerous standalone datasets, hindering large-scale analysis and model development.

Purpose of the Study:

  • To create a centralized, unified Arctic Retrogressive Thaw Slumps (ARTS) dataset.
  • To establish a Data Curation Framework for standardizing RTS digitizations.
  • To facilitate comprehensive Arctic permafrost research and collaboration.

Main Methods:

  • Consolidated 23,529 RTS-present and 20,434 RTS-absent digitisations from 20 existing datasets.
  • Developed a Data Curation Framework for RTS data standardization.
  • Ensured the dataset is comprehensive, accessible, contributable, and adaptable.

Main Results:

  • Established the Arctic Retrogressive Thaw Slumps (ARTS) dataset.
  • Introduced a standardized Data Curation Framework for RTS mapping.
  • Created a unified resource for studying RTS spatial distribution and impact.

Conclusions:

  • The ARTS dataset and curation framework address the limitations of fragmented data in RTS research.
  • This initiative promotes standardized data sharing and enhanced collaboration within the Arctic permafrost community.
  • Facilitates more comprehensive analyses of thaw slump dynamics and their role in Arctic environmental change.